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VISIBILITY · CITATION RANK

Where does your brand rank when AI agents answer?

Citation Rank scans ChatGPT, Gemini, Perplexity, Rufus, Copilot, and Claude - and tells you exactly which queries surface you, which surface competitors instead, and what to fix first. Free scan in 24 hours.

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What is Citation Rank?

Citation Rank is the position your brand occupies inside a single AI-generated answer - which place you were named in, on which engine, in which region, for one specific question. It is a per-answer measurement, not an average. Where a search rank describes your position in a list of links, Citation Rank describes your position in a sentence somebody is actually reading.

Citation Rank is your AI Share-of-Voice score across every agent surface - measured first-party, refreshed continuously, tied to the queries that drive your category.

How it works

Four capabilities, one signal

Six platforms, one number

Your rank across ChatGPT, Gemini, Perplexity, Rufus, Copilot, and Claude - refreshed weekly, surfaced as a single comparable score.

Query-level visibility

See the top-of-funnel queries you should appear on and currently don't. We map each query to category intent so you know which gaps move revenue.

Competitor delta

Who's beating you, in which categories, with what answer the model is reaching for. Not 'how do you compare to X' - 'where is X taking the citation that should be yours.'

Prescriptive next-30-days

Three specific actions per category, ranked by expected presence lift. Not generic SEO advice - citation-anchor edits LLMs actually reward.

Why a per-answer number, and not one score

An answer engine does not return a ranked list that you can read positions off. It returns prose that names a handful of brands in an order it chose, and that order differs by engine, by region, and by how the question was phrased. Averaging those into one figure destroys the only information that tells you what to do next.

Citation Rank keeps the answer intact. Each tracked question stores the full response text, the brands named in it, the order they appeared in, and every source the engine cited to build it. When your position moves, you can open the answer that moved and read why.

This matters more than it sounds. In our own category analysis, engines cited wildly different sources for the same question - the overlap between what ChatGPT and Gemini reach for is roughly four domains in thirty. A single blended score hides exactly that.

Mentioned is not the same as recommended

A brand can be quoted as a source in an answer and never offered as an option in it. This is common and it is the single most misread signal in AI visibility: your page is good enough for the model to take a fact from, but nothing about it makes you a candidate when the reader asks who to use.

Citation Rank counts those separately. A mention records that the engine drew on you. A recommendation records that the engine put you forward. The work required to fix each is different - the first is a content and citation problem, the second is a positioning and third-party-corroboration problem.

What moves it

Three things, in rough order of effect. First, whether independent sources corroborate you - comparison pages, reviews and forum threads carry weight your own copy cannot, because they are not yours. Second, whether your own pages state checkable things: a short declarative sentence that defines something is what models retrieve, far more often than a statistic. Third, whether your product data is unambiguous enough for an engine to describe you confidently rather than reaching for a competitor it understands better.

None of those move in a day. Citation Rank is designed to be read weekly, against the specific questions your buyers ask, rather than watched hourly.

Side by side

Citation Rank, Share of Voice and Visibility Score - which one answers your question

These three measure adjacent things and buyers routinely conflate them. The short version: Citation Rank is per-question, Share of Voice is per-category, Visibility Score is the roll-up. Most teams need the first two and report the third.

Citation Rank ·Share of VoiceVisibility Score
Question it answersFor this specific prompt, where did we appear?Across the category, how much of the answer space is ours?Overall, are we getting more or less visible?
Unit of measurementOne prompt, one engine, one regionA cluster of prompts, aggregatedAll tracked prompts, rolled into one figure
Changes whenA single answer reordersCompetitors gain or lose ground across a topicThe aggregate moves - usually slowly
Best forDiagnosing why a specific answer went wrongDeciding which topics to invest in nextReporting the trend to people who will not read prompt-level data
Who uses itSEO and content leadsCategory and growth leadsExecutives and board reporting
Fails whenUsed alone - one prompt is noisyRead without knowing which prompts are in the clusterTreated as a diagnosis rather than a summary
Mentions vs recommendationsSeparated per answerSeparated per clusterBlended - by design

A single composite score cannot tell you what to fix. If a number moves and you cannot name the answer that moved it, you are looking at the wrong one of these three.

Go deeper

Related products and proof

FAQ

Common questions

Yes, and the engine matters far more than the country. In our September 2026 category analysis, two engines answering the same question shared as few as four of their top thirty cited domains, while the same engine across three countries shared twenty-four of thirty. Track per engine first.

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